ML4PG is a machine-learning extension that provides statistical proof hints during the process of Coq/SSReflect proof development. In this paper, we use ML4PG to find proof patterns in the CoqEAL library - a library that was devised to verify the correctness of Computer Algebra algorithms. In particular, we use ML4PG to help us in the formalisation of an efficient algorithm to compute the inverse of triangular matrices
This thesis studies the formalisation and execution of Linear Algebra algorithms in Isabelle/HOL, an...
We report the results of the first experiments with learning proof dependencies from the formalizati...
Mathematical Components is the name of a library of formalized mathematics for the Coq system. It co...
ML4PG is a machine-learning extension that provides statistical proof hints during the process of Co...
Abstract. ML4PG is an extension of the Proof General interface of Coq, allowing the user to invoke m...
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof s...
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof s...
Abstract: We present ML4PG — a machine learning extension for Proof General. It allows users to gath...
Abstract. Development of Interactive Theorem Provers has led to the creation of big libraries and va...
Development of Interactive Theorem Provers has led to the creation of big libraries and varied infra...
We describe a step-by-step approach to the implementation and formal verification of efficient algeb...
International audienceWe describe a step-by-step approach to the implementation and formal verificat...
The system Coq (Dowek et al., 1991) is an environment for proof development based on the Calculus of...
We present MLCERT, a novel system for doing practical mechanized proof of the generalization of lear...
This chapter argues for a novel method to machine learn patterns in formal proofs using statistical ...
This thesis studies the formalisation and execution of Linear Algebra algorithms in Isabelle/HOL, an...
We report the results of the first experiments with learning proof dependencies from the formalizati...
Mathematical Components is the name of a library of formalized mathematics for the Coq system. It co...
ML4PG is a machine-learning extension that provides statistical proof hints during the process of Co...
Abstract. ML4PG is an extension of the Proof General interface of Coq, allowing the user to invoke m...
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof s...
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof s...
Abstract: We present ML4PG — a machine learning extension for Proof General. It allows users to gath...
Abstract. Development of Interactive Theorem Provers has led to the creation of big libraries and va...
Development of Interactive Theorem Provers has led to the creation of big libraries and varied infra...
We describe a step-by-step approach to the implementation and formal verification of efficient algeb...
International audienceWe describe a step-by-step approach to the implementation and formal verificat...
The system Coq (Dowek et al., 1991) is an environment for proof development based on the Calculus of...
We present MLCERT, a novel system for doing practical mechanized proof of the generalization of lear...
This chapter argues for a novel method to machine learn patterns in formal proofs using statistical ...
This thesis studies the formalisation and execution of Linear Algebra algorithms in Isabelle/HOL, an...
We report the results of the first experiments with learning proof dependencies from the formalizati...
Mathematical Components is the name of a library of formalized mathematics for the Coq system. It co...